 |
 |
Article dans une revue
Utterances Assessment in Chat Conversations
Abstract : With the continuous evolution of collaborative environments, the needs of automatic analyses and assessment of participants in instant messenger conferences (chat) have become essential. For these aims, on one hand, a series of factors based on natural language processing (including lexical analysis and Latent Semantic Analysis) and data-mining have been taken into consideration. On the other hand, in order to thoroughly assess participants, measures as Page's essay grading, readability and social networks analysis metrics were computed. The weights of each factor in the overall grading system are optimized using a genetic algorithm whose entries are provided by a perceptron in order to ensure numerical stability. A gold standard has been used for evaluating the system's performance.
Littérature citée [14 références]
https://hal.univ-grenoble-alpes.fr/hal-01081484
Contributeur : Philippe Dessus <>
Soumis le : samedi 8 novembre 2014 - 09:11:27
Dernière modification le : vendredi 6 novembre 2020 - 04:43:31
Archivage à long terme le : : lundi 9 février 2015 - 10:06:29
Contributeur : Philippe Dessus <>
Soumis le : samedi 8 novembre 2014 - 09:11:27
Dernière modification le : vendredi 6 novembre 2020 - 04:43:31
Archivage à long terme le : : lundi 9 février 2015 - 10:06:29
Fichier
RCS10.pdf
Fichiers produits par l'(les) auteur(s)
